ML Search Engineer; Python

Job Summary (List Format):
Senior Python Engineer, ML/AI Search Team Core Responsibilities

• Design, develop, and deploy end-to-end Python backend services for intelligent product search.
• Integrate and build ML inference pipelines using embeddings, transformer models, and LLMs for query understanding and reranking.
• Develop scalable retrieval systems, real-time architectures, and customer-facing APIs on Google Cloud Platform (GCP).
• Own production services including testing, monitoring, observability, and on-call support.
• Collaborate with Search and ML Architects to create hybrid retrieval systems (keyword, vector similarity, ML reranking).
• Maintain Elasticsearch indexing pipelines and integrate vector databases (e.g., Pinecone, FAISS) into retrieval workflows.
• Instrument systems with metrics (CTR, zero result rate, latency) to support A/B testing and experimentation.
• Champion engineering best practices: CI/CD, infrastructure as code, testing, and observability.
• Lead technical design discussions and participate in code reviews and team knowledge sharing.

• 4+ years professional backend or full stack engineering experience, with a strong focus on Python.
• Experience building and deploying cloud-native applications (preferably on GCP; AWS/Azure also welcome).
• Strong skills in microservices, REST/GRPC APIs, Docker, Kubernetes, and serverless patterns.
• Solid understanding of software design principles and best engineering practices.
• Excellent communication; comfortable collaborating with ML engineers, architects, and product teams.
• Willingness to utilize AI tools to accelerate development.

• Experience with search platforms (Elasticsearch, Open Search, Solr, Algolia).
• Familiarity with vector search concepts/tools (embeddings, ANN, FAISS, Pinecone, weaviate).
• Exposure to ML/AI workflows, such as RAG pipelines, LLM integration, prompt engineering, and fine tuning.
• Experience with AI orchestration frameworks (Lang Chain, Lang Graph, Google ADK).
• Proficiency in infrastructure as code (Terraform, Pulumi) and CI/CD pipeline management.